Rizki Fitri Rahima Uulaa
National Taiwan University of Science and Technology, Taiwan

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Comparison of Top 100 Cited Research on Machine Learning and Deep Learning in The Last Twenty Years Yeni Anistyasari; Binar Kurnia Prahani; Mila Candra Pristianti; Tan Amelia; Paken Pandingangan; Rizki Fitri Rahima Uulaa; Mohammad Walid Rasuliy
International Journal of Emerging Research and Review Vol. 1 No. 1 (2023): March
Publisher : IKIP Widya Darma Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56707/ijoerar.v1i1.3

Abstract

Objective: The aim is to compare the top 100 research related to machine learning (ML) and deep learning (DL) during 2002-2021 using bibliometric analysis. Method: The data were obtained from Scopus. The data taken in this research were selected from 100 articles with the highest citation in the range from 2002 to 2021. Bibliometric analysis is used in this research. Data from Scopus is exported in the form of .csv form which is processed using Ms. Excel and form of .ris which is processed using VOSviewer. Results: The results showed that the trend of ML and DL increased every year. The most widely published document types in ML are articles, while DL is in the form of conference papers. The highest year-wise distribution of publishing ML and DL occurred in 2017. ML advantages are in terms of requires less data and take less time to train, while the DL advantages in terms of higher accuracy than ML, available to tuned in various different ways. Novelty: This research being able to provide an overview for future researchers regarding the trend of ML and DL topics so that the resulting paper can provide various benefits for the coming year. In addition, it can provide broader knowledge about ML and DL itself. Further research can be carried out more intensively using data based on the Web of Science, in addition to the Scopus database.
Integrated environmental education physics project to enhance student creativity Nurita Apridiana Lestari; Fajaria Meli Susanti; Madlazim Madlazim; Eko Hariyono; Rizki Fitri Rahima Uulaa
Momentum: Physics Education Journal Vol. 8 No. 1 (2024)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/mpej.v8i1.9054

Abstract

This study aims to describe the results of research on physics education integrated with environmental issues, especially related to climate change, through literature review and its implementation in schools. The aspects observed include the feasibility, effectiveness, and student responses to the implementation of integrated physics learning with environmental education related to climate change to enhance creativity. The research method used was quantitative research with a true experimental design involving pretest and posttest control groups. The subjects of the study were science students in public secondary schools in Jombang, divided into experimental and control groups. The research data were processed using observation sheets for the feasibility of learning, prerequisite tests including tests for data normality and homogeneity, paired t-tests, two-tailed t-tests, one-tailed t-tests, n-gain tests, effect size, and student response questionnaires. Based on the research findings, it can be concluded that (1) there is a significant difference in students' creativity before and after the implementation of integrated physics learning with environmental education related to climate change, with the experimental group experiencing a higher increase compared to the control group, indicating the effectiveness of integrated physics learning with environmental education. (2) Student responses after the implementation of integrated physics learning with environmental education related to climate change were categorized as excellent. Therefore, as an initial study, it can be stated that climate change education can be implemented in the form of project performance and has an impact on student creativity.